What is the people posting about symptoms related to Coronavirus in Bogota, Colombia?

TL;DR

This paper analyzes social media posts from Bogota, Colombia, to understand the spread of COVID-19 symptoms using text mining, providing insights into local symptom reporting during the pandemic.

Contribution

It introduces a text mining approach to analyze social media data for tracking COVID-19 symptom reports in Bogota, Colombia.

Findings

Identified common COVID-19 symptoms mentioned in social media posts.

Supported understanding of symptom spread in Bogota.

Demonstrated the usefulness of social sensors for pandemic monitoring.

Abstract

During the last months, there is an increasing alarm about a new mutation of coronavirus, covid-19 coined by World Health Organization(WHO) with an impact in many areas: economy, health, politics and others. This situation was declared a pandemic by WHO, because of the fast expansion over many countries. At the same time, people is using Social Networks to express what they think, feel or experiment, so this people are Social Sensors and helps to analyze what is happening in their city. The objective of this paper is analyze the publications of Colombian people living in Bogota with a radius of 50 km using Text Mining techniques from symptomatology approach. The results support the understanding of the spread in Colombia related to symptoms of covid19.